Carbonate Reservoir Porosity Estimation Using Multi-regression Method

A. Almoqbel; Y. Wang

doi:10.3997/2214-4609.201400183

Carbonate Reservoir Porosity Estimation Using Multi-regression Method
By A. Almoqbel and Y. Wang
Publisher: European Association of Geoscientists & Engineers
Source: Conference Proceedings, 71st EAGE Conference and Exhibition incorporating SPE EUROPEC 2009, Jun 2009, cp-127-00176
ISBN: 978-90-73781-67-2
DOI: https://doi.org/10.3997/2214-4609.201400183

Abstract

Identifying the reservoir porous zones can be used as an indicator to reservoir fluids (Pennington, 2001). Porosity is crucial for determining the volumetrics of groundwater and hydrocarbon reservoirs. Moreover, porosity is usually related to permeability

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2009-06-08

2024-04-26

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Carbonate Reservoir Porosity Estimation Using Multi-regression Method

Abstract

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The natural combination of full and image‐based waveform inversion

Poststack diffraction imaging using reverse‐time migration

Characterizing the effect of elastic interactions on the effective elastic properties of porous, cracked rocks

Fracture detection by Gaussian beam imaging of seismic data and image spectrum analysis

Laboratory measurements of guided‐wave propagation within a fluid‐saturated fracture